Abstract The Support Vector Machine (SVM) method is one of the popular machine learning
algorithms as it gives high accuracy. However, like most machine learning algorithms, the …

The pyrolysis process enables the transformation of plastic waste into products such as oil,
solid residue, and gas at temperatures of around 300–900° C by thermal decomposition …

The study is about designing, modelling, and manufacturing the heat sinks using AlSi10Mg
powder material by the Powder Bed Fusion (PBF) additive manufacturing method. The …

Real life data often suffer from non-informative objects—outliers. These are objects that are
not typical in a dataset and can significantly decline the efficacy of fuzzy models. In the paper …

In data sets some attributes may have higher or lower importance. One of the tools used for
data analysis of such datasets are subspace neuro-fuzzy systems. They elaborate fuzzy …

Purpose: In this study, classification of the dynamically weighted eggs according to the
weight categories set forth in the Ministry of Food, Agriculture and Animal-Turkish Food …

An acoustic emission and machine learning based pistachio classification system has been
developed. This system performs feature extraction using Mel frequency cepstral coefficients …

Günümüzde üretim sektöründe hız önemli bir faktör haline gelmiştir. Bundan dolayı üretilen
ürünlerin ağırlıklarının tartımlarının da hızlı bir şekilde yapılması gerekmektedir. Hızlı bir …

Physical action recognition is a hot topic in human–machine interactions. It has potential
uses in helping disabled people and in various robotic applications. Electromyography …

The automotive sector takes over an important place in the world economy. Improvements in
the production speeds and daily production capacities are important in automotive factories …